This paper describes a dynamic service reconfiguration model where the proxy is composed of a chain of service objects called mobilets (pronounced as mo-be-lets), which can be dep...
Siu Nam Chuang, Alvin T. S. Chan, Jiannong Cao, Ro...
We consider a model for interacting objects, where the evolution of each object is given by a finite state Markov chain, whose transition matrix depends on the present and the pa...
Jean-Yves Le Boudec, David McDonald, Jochen Mundin...
– This paper presents a proxy-based visual content repurposing approach, which is used to repurpose visual content dynamically for the transmission over heterogeneous networks an...
We consider a multiagent system whose task is to aid componentcentered design by collaborative designers in a supply chain. In the earlier work, collaborative design networks are ...
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...